This Github Host Students' Final Project Deliverables from 2020 Fall UVa CS Course: Machine Learning, Math Foundations and Good Use
Objective of the course: To help students get capable in building machine learning tools (not just a tool user!!!)
Key results: (1) to build multiple machine learning methods from scratch, (2) to understand complex machine learning methods at the source code level and (3) to produce one machine learning project on cutting-edge data applications with health or social impacts or with cutting-edge engineering impacts on deep learning benchmarking libraries.
About the course final projects: Here
We had a wonderful body of students in 2020 Fall, and students finished the following list of final projects, most on the topic about COVID-19.
| ORDER | Team Name | Team Products |
|---|---|---|
| 1 | Multi-Agent Deep Reinforcement Learning for Liquidation Strategy Analysis | Slides/Code/Report |
| 2 | COVID19 Medical Image CTScan Analysis | Slides/Code/Report |
| 3 | COVID19 Face Mask Detection in a Crowd Setting | Slides/Code/Report |
| 4 | COVID19 Outcome Prediction based on Government Response | Slides/Code/Report |
| 5 | COVID19 Analysis into the Disproportionate Impact of COVID-19 impact on the BAME population in the UK | Slides/Code/Report |
| 6 | COVID19 Mask Face Image Detection | Slides/Code/Report |
| 7 | COVID19 Holidays impact on Pandemic in America | Slides/Code/Report |
| 8 | COVID19 Insightful Interfaces VA from Demographics | Slides/Code/Report |
| 9 | COVID19 mRNA Vaccine Degradation Prediction | Slides/Code/Report |
| 10 | COVID19 Severity Prediction Based on Gene Expression | Slides/Code/Report |
| 11 | PassGAN | Slides/Code/Report |
| 12 | Melanoma Imaging Classification | Slides/Code/Report |
| 13 | Machine Learning for Cryptocurrency Pricing | Slides/Code/Report |
| 14 | Drug Mechanism of Action (MoA) Prediction | Slides/Code/Report |